科研管理

科研管理 ›› 2025, Vol. 46 ›› Issue (11): 32-41.DOI: 10.19571/j.cnki.1000-2995.2025.11.004

• 论文 • 上一篇    下一篇

战略联盟网络嵌入层次对企业技术创新的影响研究

王慧1，高山行1，杨张博2
  

  1. 1.西安交通大学 管理学院，陕西 西安710049；
    2.西安交通大学 人文社会科学学院，陕西 西安710049
  • 收稿日期:2024-01-20 修回日期:2024-12-31 接受日期:2025-01-01 出版日期:2025-11-20 发布日期:2025-11-07
  • 通讯作者: 杨张博
  • 基金资助:
    国家社科基金重大项目：“数字经济背景下我国企业战略管理新范式建构研究”（22&ZD146，2022.09-2027.07）；国家社科基金重点项目：“我国高新技术产业突破性创新的触发机理与实现路径研究”（20AGL004，2020.08-2023.06）；国家自然科学基金面上项目：“正负网络嵌入性对企业技术创新的影响机制研究：基于海量多源异构合作和诉讼数据”（72372127，2024.01-2027.12）。

Research on the impact of strategic alliance network embedding levels on corporate technological innovation

Wang Hui1, Gao Shanxing1, Yang Zhangbo2   

  1. 1. School of Management, Xi′an Jiaotong University, Xi′an 710049, Shaanxi, China; 
    2. School of Humanities and Social Science, Xi′an Jiaotong University, Xi′an 710049, Shaanxi, China
  • Received:2024-01-20 Revised:2024-12-31 Accepted:2025-01-01 Online:2025-11-20 Published:2025-11-07

摘要：     论文讨论战略联盟网络嵌入性、网络结构和网络内容对于企业技术创新的层次化作用机制。基于中国生物医药企业的专利数据、联盟网络数据和财务数据，论文采用社会网络分析方法和固定效应负二向回归模型，分析联盟网络嵌入程度、网络结构和网络多样性对企业创新绩效的影响。研究发现：（1）网络的局部嵌入程度、整体嵌入程度、结构洞以及联盟类型多样性均对企业创新绩效具有正向影响；（2）结构洞在不同嵌入层次中具有不同的调节作用；（3）联盟类型多样性在不同嵌入层次均具有负向调节作用。研究引入PageRank算法，证实了不同网络层面（局部与整体）在企业创新过程中具有差异化机制，嵌入性机制强调了网络强连接和凝聚性的重要性；结构洞效应表明了网络中间断层和弱连接的战略价值；多样性效应则意味着网络复杂性会阻碍企业从网络中获取创新收益。研究建议企业管理者在制定网络创新战略应区分个体网和整体网层次，将联盟伙伴间关系和联盟类型等信息纳入决策过程。

关键词: 联盟网络, 网络嵌入, 结构洞, 创新绩效, PageRank算法

Abstract:    This paper explored the hierarchical mechanisms through which innovation network embeddedness, network structure, and network content influence corporate technological innovation. By integrating the patent data, alliance network data, and financial data from Chinese biopharmaceutical firms, we constructed the panel data and employed the social network analysis methods and fixed-effects negative binomial regression models to examine the impact of alliance network embeddedness, network structure, and network diversity on corporate innovation performance. The results revealed that: (1) Local embeddedness, overall embeddedness, structural holes, and diversity of alliance types all positively influence corporate innovation performance; (2) Structural holes exhibit varying moderating effects across different levels of embeddedness; and (3) Alliance type diversity negatively moderates the relationship. By introducing the PageRank algorithm, the study confirmed differentiated mechanisms at local and whole network levels during the innovation process. The embeddedness mechanism highlights the importance of strong connections and network cohesion while the structural hole effect underscores the strategic value of network break and weak ties in the network. Moreover, the diversity effect suggests that network complexity hinders innovation benefits from the network. Therefore, managers, when formulating network innovation strategies, should distinguish between ego and whole network strategies, and incorporate information about relationships between alliance partners and types of alliances into the strategic decision-making process.

Key words: alliance network, network embeddedness, structural hole, innovation performance, PageRank algorithm